clear all
drop _all
set mem 6500m
set more off
macro drop _all

cap cd "C:\Users\alson\Dropbox\BID_Quisqueya_conAlba\SUBMISSIONS\EHBsubmission\1ST ROUND REVISION\Replication package"

log close _all
log using peru.log, replace 

global table  Tables\
global data Data\


use "C:\Users\alson\Dropbox\BID_Quisqueya_conAlba\SUBMISSIONS\EHBsubmission\1ST ROUND REVISION\Replication package\Data\Peru.dta", clear


** PER COUNTRY TABLE

global rif_reg_measures score_cog_stand score_ppvt_stand


foreach var of global rif_reg_measures {

    local lab: variable label `var'  // Save variable label in local `lab'
   
    eststo `var'_reg: reg `var' female, robust



eststo `var'_rifreg: bootstrap, seed(1234) reps(1000):rifsureg `var' female, qs(10 25 50 75 90)

foreach k of numlist 10 25 50 75 90 {
scalar A`k' = [q`k'][female]
scalar B10 = sqrt(e(V)[1,1])
scalar B25 = sqrt(e(V)[3,3])
scalar B50 = sqrt(e(V)[5,5])
scalar B75 = sqrt(e(V)[7,7])
scalar B90 = sqrt(e(V)[9,9])
scalar I`k' = `k'
}

di "Pairwise test P10 vs P90"
test [q90]female=[q10]female
sca `var'_10_90 = r(p)

di "Pairwise test P10 vs P50"
test [q50]female=[q10]female
sca `var'_10_50 = r(p)

di "Pairwise test P50 vs P90"
test [q90]female=[q50]female
sca `var'_50_90 = r(p)


putdocx begin

putdocx paragraph

local footnotes: di "Peru. For `lab': 10th = 90th (p-value = " string(scalar(`var'_10_90), "%9.3f") "), 10th = 50th (p-value = " string(scalar(`var'_10_50), "%9.3f") "), 50th = 90th (p-value = " string(scalar(`var'_50_90), "%9.3f") ")"

putdocx text ("`footnotes'")

putdocx save domains_pvalues.docx , append

}


** Create the global

foreach var of global rif_reg_measures {

global results_means $results_means `var'_reg

global results_rifreg $results_rifreg `var'_rifreg

}

	esttab $results_means using "$table\tablePeru.tex", replace ///
    b(%8.3f) se(%8.3f) label ///
    title("Female-male. Peru") star(* 0.10 ** 0.05 *** 0.01) ///
    nocons noobs nonotes postfoot("") 

	
	esttab $results_rifreg using "$table\tablePeru.tex", append fragment ///
    b(%8.3f) se(%8.3f) label ///
    star(* 0.10 ** 0.05 *** 0.01) ///
    nocons nonotes nonumbers nomtitles postfoot("\hline\hline") 



** Prepare the data for the pooled regression: one indicator per country

** Preparing the pool

pca score_cog_stand score_cog_stand
predict one_index,score
egen one_index_stand = std(one_index)
lab var one_index_stand "ECD index"

gen country = "Perú"

keep one_index_stand country female mothers_age_birth primary secondary tertiary wi2_stand

append using $data\pool.dta

save $data\pool.dta, replace